A Comparative Study of Deep Learning and Decision Tree Based Ensemble Learning Algorithms for Network Traffic Identification

A Comparative Study of Deep Learning and Decision Tree Based Ensemble Learning Algorithms for Network Traffic Identification

In this paper, we apply Deep Learning (DL) and decision-tree-based ensemble learning algorithms to classify network traffic by application. Various Deep Learning (DL) models for network traffic identification have been presented, implemented and compared, including 1D convolutional, stacked autoenco...

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Bibliographic Details
Main Authors: N. Nikolić, S. Tomović, I. Radusinović
Format: Article
Language:English
Published: Telecommunications Society, Academic Mind 2022-12-01
Series:Telfor Journal
Subjects:
computer networks
decision-tree algorithms
deep learning
ensemble machine learning
traffic identification
Online Access: http://journal.telfor.rs/Published/Vol14No2/Vol14No2_A3.pdf

Internet

http://journal.telfor.rs/Published/Vol14No2/Vol14No2_A3.pdf

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